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I had installed the dependencies regarding the repo but still, i am facing an issue in `gen.py`
`(syntext) D:\SynthTextHindi>python gen.py
pygame 2.0.3 (SDL 2.0.16, Python 3.5.6)
Hello from the p…
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from ragas.testset import TestsetGenerator
from ragas.testset.evolutions import simple, reasoning, multi_context
test_generator = TestsetGenerator(
generator_llm=bedrock_model,
critic_ll…
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Hello, I have observed you mentioned the succeed train to zero cost (0.0162) at epoch 500 with Adam 0.0001 very fast. Howerver, I cannot obtain the loss as low as you said. I used the automatic gene…
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Hello,
As you know from some other issues, I have been trying to generate some ground truth data for centerpose using dope's pipeline. Here is a json data containing the annotation for cup model fr…
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**Describe the bug**
I want to use Ultrafeedback task in a pipeline, but i have already the dataset, so the pipeline include only loading the dataset and after pass it to ultrafeedback module. Doing …
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ValueError: Layer encoder weight shape (3, 5, 200) is not compatible with provided weight shape (120, 200).
Why is there such an error when using VAE dense
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Generative modeling -- triplet works
https://github.com/mmcdermott/EventStreamGPT/blob/main/EventStream/transformer/generation/generation_utils.py#L73
Simplify this code^
With triplet code - you …
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# Description
The first huge difficulty for training an AI assistant is to get a dataset reach enough and big enough for starting the training at all.
ChatLLaMA needs three different type of da…
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How do we know that the metrics we use for training are reflective of real-world user needs?